The advent of artificial intelligence designed by Danish scientists marked a significant advance in the ability to anticipate premature deaths. This technology, called \u201clife2vec\u201d, stood out for its surprising ability to correctly assess the risks of early mortality among Danes aged 35 to 65 with an accuracy of 78%.<\/p>\n\n\n
Data from the entire population of Denmark, more than 5.8 million individuals, formed the basis of this study, published in the scientific journal Nature<\/a>. The range of information gathered was broad, incorporating medical history, interactions with the health system, but also socio-economic aspects such as education, occupation and income, collected over a period extending from 2008 to 2020.<\/p>\n\n\n Artificial intelligence then proceeded to analyze this vast corpus using probabilistic models to estimate fatal outcomes.<\/p>\n\n\n The researchers insist that no individual predictions were communicated to the people analyzed, considering that it would be irresponsible to do so. However, they mention various beneficial applications such as the early identification of health risks or the possibility of acting proactively on social disparities having an impact on public health.<\/p>\n\n\nWhat makes this AI unique?<\/h3>\n\n\n
\n\n
The potential implications of the predictive tool<\/h2>\n\n\n